Real-Time Coherence Monitoring in Integrated Environments

Transcription

1 Real-Time Coherence Monitoring in Integrated Environments Correlating Coherence Monitoring Metrics with Infrastructure, Database, and Application Server Metrics 5 December London, UK Everett Williams Senior Director of Technology SL Corporation Tom Lubinski Chief Technology Officer SL Corporation 1

2 Disclaimer The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for SL s products remains at the sole discretion of SL. 2

3 Agenda Customer quotes/problem Statement Data Collected Current Tools/Analysis capabilities Architecture Demo Expanding to App Servers Challenges 3

4 Customer Questions/Comments Nodes, Caches, and Services are nice. But we are server people. Online Major Retailer How do I know if hardware/network are causing my coherence problem Major Apparel Company Does blade configuration #1 or blade configuration #2 run my application better? Major Retailer We spend a great deal of time poking around looking for system metrics Investment Bank. 4

5 Assumptions JVMS of Hosts 100s of caches Analysis over time Overlapping Data set (more than outlier analysis) 5

6 Data Collected and Aggregated Coherence Information Cache Service Node Storage Manager Host Information Host CPU/Memory Host Network Host Process CPU Memory Coherence information aggregated to the host level. 6

7 What makes Coherence unique Single task spread across multiple processes and servers. Impact of Network and latency 7

8 Server view of data Single Server Single state No Context Doesn t scale visually 8

9 Top Single Server Single state No Context Doesn t scale visually 9

10 Top/NMon Single Server Single state No Context Doesn t scale visually 10

11 Taskmon Graphs Single Server No Context Time Series not aligned 11

12 Stacked Graphs Doesn t visually scale Top N Servers don t re-sort 12

13 Single Graph with Multiple Trends Good for Outlier analysis Not good for overlapping trends. Single Server No Context 13

14 RTView Enterprise Solution Collect, Analyze, Correlate, and Visualize data from multiple disparate sources RTView Enterprise System RTView Developer OEM Connector Oracle Coherence Oracle WebLogic Oracle Database System Metrics Generic JVM VMware TIBCO Custom Package IBM and many more OEM Target Systems 14

15 RTView Enterprise Solution Users EM Central Server(s) provide configuration to dataservers and alert management to users. It also provides a CacheMap identifying the location of all data contained in DataServers.. EM Central Server(s) CMDB Display Server ALERTDEFS HISTORY Configuration Management Alert Aggregation Directory Cache Map DataServers 15

16 RTView DataServer with H/A Deployment Primary / Backup Servers run on different machines RTView EM ConfigServer DataServer Configuration Systems Being Monitored DataServer components obtain configuration information via EM ConfigServer Host A DataServer <primary> Historian <primary> DataServer <backup> Historian <backup> Host B H/A Database 16

17 End-To-End Monitoring Capture the nested levels systems are implemented in heterogeneous component layering Servlet JSP Topic Queue Cache Service EJB Route App Server Messaging Caching Host Layer Physical Servers, Network, Disk, OS 17

18 DEMO 18

19 Challenges Consolidated snapshot of data Visual scalability Multiple combinations of trends 19

20 Process/Node 20

21 Network/Service 21

22 Network/Service #2 22

23 Host/Service 23

24 Network/TCMP 24

25 Network/TCMP #2 25

26 Expanding to Application Servers Correlation of WebLogic and Coherence Monitoring Metrics 26

27 On-Line Store Overview Diagram System overview diagram 27

28 WebLogic Cluster/Server Summary All Servers Organized by Cluster, with Health State 28

29 WebLogic Cluster App Summary Each Cluster shown as a unit, with server metrics aggregated 29

30 Load Balance Analysis Load Balance Comparison of multiple metrics across WebLogic and Coherence 30

31 Aggregating Other Middleware Information Health State of each service aggregated from multiple components 31

32 Aggregating Other Middleware Information Health State of each service aggregated from multiple components 32

33 Aggregating Other Middleware Information Including Aggregate Service Alert History over Time 33

34 Aggregating Other Middleware Information Including Detailed History of Coherence Cache Service 34

35 Thank you! For more information, please visit